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dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology, strong coding skills
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considered an advantage. Applicants will need expertise and desire to teach in various areas of Electrical and Computer Engineering. Current teaching opportunities specifically exist in programming, software
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-division undergraduate, and graduate), and training the next generation of researchers working in AI, natural language processing and machine learning, and computational methods for language. Qualifications
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regarding employment laws and regulations. Preferred Qualifications PhD. D in in Electrical or Computer Engineering and ten or more years of experience in digital or system architecture for SoC/FPGA/ASIC
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Advanced Degree: MS or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science, or a related field. Program Leadership: Proven program management chops – you can
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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education and experience may be substituted as appropriate. Preferred Qualifications MS or PhD in Computer Science, Machine Learning, or a related discipline. Prior technical leadership experience. Experience
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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areas such as data analysis, statistical modeling, machine learning, numerical modeling, or remote sensing Preferred Qualifications A general understanding of ecosystem modeling or ocean circulation
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regulations.) Relevant education and experience may be substituted as appropriate. Preferred Qualifications Advanced Degree: MS or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering